Mogu (MOGU) Tax Provisions (2017 - 2026)
Mogu's (MOGU) quarterly Tax Provisions came in at -$290000.0 in Q1 2026, down 152.17% year-over-year from $555833.3 in Q1 2025, and down 152.17% quarter-over-quarter from -$115000.0 in Q1 2025.
Mogu (MOGU) Tax Provisions (2017 - 2026) Analysis & Trends
Mogu has disclosed Tax Provisions across 10 years of filings, most recently posting -$290000.0 for Q1 2026.
- In Q1 2026, Tax Provisions fell 152.17% year-over-year to -$290000.0; the TTM figure through Mar 2026 stood at $692000.0 (down 76.94% YoY), while the FY2026 annual figure was -$889000.0, down 666.38% from the prior year.
- Tax Provisions came in at -$290000.0 for Q1 2026 at Mogu, down from -$115000.0 in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $2.0 million in Q1 2022 to a low of -$290000.0 in Q1 2026.
- Average Tax Provisions over 5 years is $542200.0, with a median of -$6000.0 recorded in 2024.
- Year-over-year, Tax Provisions jumped 593.81% in 2022 and plunged 1816.67% in 2025.
- Over 5 years, Tax Provisions stood at $2.0 million in 2022, then sank by 45.37% to $1.1 million in 2023, then slumped by 100.54% to -$6000.0 in 2024, then sank by 1816.67% to -$115000.0 in 2025, then tumbled by 152.17% to -$290000.0 in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were -$290000.0 in Q1 2026, -$115000.0 in Q1 2025, and -$6000.0 in Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn | -1.89 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn | 610.00 Mn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn | -898.00 Mn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn | 81.00 Mn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn | 140.00 Mn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn | 113.00 Mn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn | 152.00 Mn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn | 36.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - | -47.50 Mn |
| 10 | Mogu | 4.66 Bn | 4.62 Bn | 1.53 Mn | -290,000.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -290,000.00 |
| Mar 31, 2025 | -115,000.00 |
| Mar 31, 2024 | -6,000.00 |
| Mar 31, 2023 | 1.10 Mn |
| Mar 31, 2022 | 2.02 Mn |
| Sep 30, 2021 | 232,489.27 |
| Jun 30, 2021 | 33,000.00 |
| Mar 31, 2021 | 291,000.00 |
| Dec 31, 2020 | -1.45 Mn |
| Sep 30, 2020 | 162,000.00 |
| Jun 30, 2020 | 177,000.00 |
| Mar 31, 2020 | 158,000.00 |
| Dec 31, 2019 | -110,000.00 |
| Sep 30, 2019 | 81,000.00 |
| Jun 30, 2019 | -49,000.00 |
| Mar 31, 2019 | 724,000.00 |
| Dec 31, 2018 | 259,000.00 |
| Sep 30, 2018 | 823,399.13 |
| Jun 30, 2018 | 781,343.91 |
| Mar 31, 2018 | 1.89 Mn |
Mogu Tax Provisions API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=tax-provisions&ticker=MOGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "MOGU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=MOGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();